日常生活中，我們或許都有找不到某個物品的經驗，特別是在家中，因此本論文提出了一個能記錄室內物品擺放位置的行動app，透過物體辨識來識別相機畫面中出現的物品，並同時運用地磁室內定位以得知當前所在的室內座標，並將物品資訊記錄於資料庫中，當下次要尋找該物品時，運用地磁室內導航至該物品位置，讓尋找物品變得更容易。
為了讓使用者更清楚所在位置，本論文也提出行徑路線顯示之方法，結合地磁室內定位數據及洪水填滿演算法，透過邊走邊畫的方式呈現使用者的行徑路線，並建構出簡易的室內平面圖。

In our daily life, we may have experience on try finding an object, especially at home. This paper proposes a mobile app that records the location of indoor objects, and identifies objects appearing in the camera through object recognition. At the same time, the geomagnetic indoor positioning is used to obtain the current indoor coordinates, and the object information is recorded in the database. When the object is to be searched later on, the geomagnetic information is used to navigate to the object location, so that it is easier to find it.
In order to make the user more aware of the location, this paper also proposes a method on the route display, combined with the geomagnetic indoor positioning data and the flood filling algorithm, so that we can present the user's path while walking, and construct a simple indoor floor plan.

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[2] Mapping. https://docs.indooratlas.com/app/.
[3] Flood Fill Algorithm.
http://melonteam.com/posts/tu_xiang_chu_li_zhi_man_shui_tian_chong_suan_fa_flood_fill_algorithm_/.
[4] Google Cloud Vision API.
https://cloud.google.com/vision/?hl=zh-tw.
[5] Clarifai API. https://clarifai.com/.
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https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android.
[7] Tensorflow Model. https://github.com/tensorflow/models.
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https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10.
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https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md.
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